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The emergence of neural networks has revolutionized the field of motion synthesis.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 2015
Earlier work this paper cites.
Learning motion manifolds with convolutional autoencoders
Daniel Holden, Jun Saito, Taku Komura, and Thomas Joyce · 2015
Earlier work this paper cites.
A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
Earlier work this paper cites.
A recurrent variational autoencoder for human motion synthesis
Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, Joe Yearsley, and Taku Komura · 2017
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Fast neural style transfer for motion data
Daniel Holden, Ikhsanul Habibie, Ikuo Kusajima, and Taku Komura · 2017
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Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
Earlier work this paper cites.
Hp-gan: Probabilistic 3d human motion prediction via gan
Emad Barsoum, John Kender, and Zicheng Liu · 2018
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Demystifying MMD GANs
Mikołaj Bińkowski, Dougal J. Sutherland, Michael Arbel, and Arthur Gretton · 2018
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Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
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Recurrent transition networks for character locomotion
Félix G Harvey and Christopher Pal · 2018
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Glow: Generative flow with invertible 1x1 convolutions
Durk P Kingma and Prafulla Dhariwal · 2018
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Listen to dance: Music-driven choreography generation using autoregressive encoder-decoder network
Juheon Lee, Seohyun Kim, and Kyogu Lee · 2018
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Which training methods for gans do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
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Assessing generative models via precision and recall
Mehdi SM Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, and Sylvain Gelly · 2018
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Neural kinematic networks for unsupervised motion retargetting
Ruben Villegas, Jimei Yang, Duygu Ceylan, and Honglak Lee · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Action recognition with spatio–temporal visual attention on skeleton image sequences
Zhengyuan Yang, Yuncheng Li, Jianchao Yang, and Jiebo Luo · 2018
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Auto-conditioned recurrent networks for extended complex human motion synthesis
Yi Zhou, Zimo Li, Shuangjiu Xiao, Chong He, Zeng Huang, and Hao Li · 2018
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Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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Learning character-agnostic motion for motion retargeting in 2d
Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, and Daniel Cohen-Or · 2019
Earlier work this paper cites.
Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
Cited alongside, same era.
Structured prediction helps 3d human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 2019
Cited alongside, same era.
Human motion prediction via spatio-temporal inpainting
Alejandro Hernandez, Jurgen Gall, and Francesc Moreno-Noguer · 2019
Cited alongside, same era.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 2019
Cited alongside, same era.
Convolutional sequence generation for skeleton-based action synthesis
Sijie Yan, Zhizhong Li, Yuanjun Xiong, Huahan Yan, and Dahua Lin · 2019
Cited alongside, same era.
Skeleton-aware networks for deep motion retargeting
Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, and Baoquan Chen · 2020
Rhythm is a dancer: Music-driven motion synthesis with global structure
Andreas Aristidou, Anastasios Yiannakidis, Kfir Aberman, Daniel Cohen-Or, Ariel Shamir, and Yiorgos Chrysanthou · 2021
Later among the works it cites.
Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents
Uttaran Bhattacharya, Nicholas Rewkowski, Abhishek Banerjee, Pooja Guhan, Aniket Bera, and Dinesh Manocha · 2021
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Hierarchical neural implicit pose network for animation and motion retargeting
Sourav Biswas, Kangxue Yin, Maria Shugrina, Sanja Fidler, and Sameh Khamis · 2021
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Single-shot motion completion with transformer
Yinglin Duan, Tianyang Shi, Zhengxia Zou, Yenan Lin, Zhehui Qian, Bohan Zhang, and Yi Yuan · 2021
Later among the works it cites.
Alias-free generative adversarial networks
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Cited alongside, same era.
Unpaired motion style transfer from video to animation
Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, and Baoquan Chen · 2020
Cited alongside, same era.
Probabilistic character motion synthesis using a hierarchical deep latent variable model
Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, and Nikolaus F. Troje · 2020
Cited alongside, same era.
Action2motion: Conditioned generation of 3d human motions
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, and Li Cheng · 2020
Cited alongside, same era.
Robust motion in-betweening
Félix G Harvey, Mike Yurick, Derek Nowrouzezahrai, and Christopher Pal · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Constructing human motion manifold with sequential networks
Deok-Kyeong Jang and Sung-Hee Lee · 2020
Cited alongside, same era.
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2021
Later among the works it cites.
Learn to dance with aist++: Music conditioned 3d dance generation
Ruilong Li, Shan Yang, David A Ross, and Angjoo Kanazawa · 2021
Later among the works it cites.
Large: Latent-based regression through gan semantics
Yotam Nitzan, Rinon Gal, Ofir Brenner, and Daniel Cohen-Or · 2021
Later among the works it cites.
Action-conditioned 3d human motion synthesis with transformer vae
Mathis Petrovich, Michael J Black, and Gül Varol · 2021
Later among the works it cites.
Encoding in style: a stylegan encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2021
Later among the works it cites.
Write-an-animation: High-level text-based animation editing with character-scene interaction
Jia-Qi Zhang, Xiang Xu, Zhi-Meng Shen, Ze-Huan Huang, Yang Zhao, Yan-Pei Cao, Pengfei Wan, and Miao Wang · 2021
Later among the works it cites.
We are more than our joints: Predicting how 3d bodies move
Yan Zhang, Michael J Black, and Siyu Tang · 2021
Later among the works it cites.
State-of-the-art in the architecture, methods and applications of stylegan
Amit H Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Oren Patashnik, and Daniel Cohen-Or · 2022
Closest in time.
Implicit neural representations for variable length human motion generation
Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, and Koichi Shinoda · 2022
Closest in time.
Generative adversarial graph convolutional networks for human action synthesis
Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, and Hugo Proença · 2022
Closest in time.
Flex: Extrinsic parameters-free multi-view 3d human motion reconstruction
Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, and Daniel Cohen-Or · 2022
Closest in time.
Generating diverse and natural 3d human motions from text
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 2022
Closest in time.
Ganimator: Neural motion synthesis from a single sequence
Peizhuo Li, Kfir Aberman, Zihan Zhang, Rana Hanocka, and Olga Sorkine-Hornung · 2022
Closest in time.
Mugl: Large scale multi person conditional action generation with locomotion
Shubh Maheshwari, Debtanu Gupta, and Ravi Kiran Sarvadevabhatla · 2022
Closest in time.
Temos: Generating diverse human motions from textual descriptions, 2022
Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
Closest in time.
Motionclip: Exposing human motion generation to clip space
Guy Tevet, Brian Gordon, Amir Hertz, Amit H Bermano, and Daniel Cohen-Or · 2022
Closest in time.
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Amit H Bermano, and Daniel Cohen-Or · 2022
Closest in time.